Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error **pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool]** **in python**. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

Table of Contents

## How pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool] Error Occurs?

Today I get the following error **pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool]** **in python**.

## How To Solve pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool] Error ?

**How To Solve pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool] Error ?**To Solve pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool] Error

`&`

has higher precedence than`==`

. Write:**pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool]**To Solve pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool] Error

`&`

has higher precedence than`==`

. Write:

## Solution 1

`&`

has higher precedence than `==`

. Write:

my_df.ix[(my_df.CHUNK_NAME==chunks[0])&(my_df.LAMBDA==lam_beta[0][0])]

**Summery**

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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